se-simulator

Generating fun Stack Exchange questions using Markov chains

pip install -r requirements.txt
create a MySQL database called se-simulator
rename config.sample.py to config.py and fill in the database details and create a secret_key
run create.py, which creates the database and fetches the list of SE sites
run apply_colors.py (which should run really quickly)
create folders called chains, download and raw (or syminks to somewhere where more disk space is left)
download the .7z files for the sites you want to generate (I'd recommend to use a file <100MB)
- If the .7z has another name as the site has now, rename it
run consume.py
- It should check the hash, move the file to raw/, unpack it and extract the needed content from the .xml files into new .jsonl files. It also writes the data of the file into the db, so it won't be imported again.
now the most important step: run todb.py
- this will generate the markov chains and save them (or use existing ones on the next run)
- afterwards 100 questions will be added to the db, with corresponding answers, titles and usernames
run shuffle.py
- I haven't found a performant way to get a random question without asigning every question an integer and saving the maximum to count.txt
run server.py
- this starts the Flask server on http://127.0.0.1:5000/
- if I didn't miss an important step, the site should be working fine now.

app.py: needed for Flask
basemodel.py and models.py: peewee ORM
extra_data.py: manually collected colors of every site with an custom theme
markov.py: extending the great markovify library for my use case
parsexml.py: reading in the Stack Exchange dump XML files with no more than 40MB RAM usage.
text_generator.py: everything that creates the content and handles the Markov chains
updater.py: probably not working anymore, checks for newer dump files
utils.py: everything else

jaytaylor / se-simulator